1 / 17

ME 388 – Applied Instrumentation Laboratory Design of Experiments (DOE)

ME 388 – Applied Instrumentation Laboratory Design of Experiments (DOE). Reference (If you can find it). R.D Moen, T.W. Nolan, L.P. Provost, Improving Quality Through Planned Experimentation , McGraw-Hill, 1991

brianna-kirby
Télécharger la présentation

ME 388 – Applied Instrumentation Laboratory Design of Experiments (DOE)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ME 388 – Applied Instrumentation Laboratory Design of Experiments (DOE)

  2. Reference (If you can find it) • R.D Moen, T.W. Nolan, L.P. Provost, Improving Quality Through Planned Experimentation, McGraw-Hill, 1991 • D.C. Montgomery, Design and Analysis of Experiments, 5th Edition, Wiley, 2001

  3. Six Sigma (black belt) • System for constant improvement • Use of statistical tools for process analysis, problem solving and improvement • Six Sigma statement by GE: …The central idea behind Six Sigma is that if you can measure how many "defects" you have in a process, you can systematically figure out how to eliminate them and get as close to "zero defects" as possible…

  4. Definition • A powerful “statistics-based” experimental methodology that is used to efficiently determine how multiple independent variables affect dependent variables of a system or process.

  5. A properly executed DOE will… • Provide the most information • With the fewest amount of tests • Compared to a sequential “string-of-pearls” type approach

  6. DOE’s are used for • Screening experiments • To determine Interactions between independent variables • Optimization

  7. Motivation • Knowledge • Optimization • Improvement

  8. Steps to use DOE • Have some technical knowledge of process or system (assumed here) • Have some statistics background (assumed here) • Design experiment (and run) • Analyze data

  9. Terminology • Factor = independent variable • Level = a given value or setting for an independent variable (for example, a 2-level experiment involves testing a high and low value for each independent variable)

  10. 2 level, 2 factor design (22)

  11. 2 level, 3 factor design (23)

  12. 2 level, 4 factor design (24)

  13. Fractional Factorial Designs • Reduce number of test • At the expense of complete data • Rely on reasonable judgments and technical knowledge • Assume triple, quadruple and greater interactions are not significant

  14. 27-3 design

  15. 27-4 design

  16. Analysis • Develop extended test/design matrix • “Effects” are assessed for each variable and combination of variables • Effects plots can also be generated

More Related